Design for future: managed software evolution.

Goltz, Ursula, Reussner, Ralf H., Goedicke, Michael, Hasselbring, Wilhelm, Märtin, Lukas and Vogel-Heuser, Birgit (2014) Design for future: managed software evolution. Computer Science - Research and Development . DOI 10.1007/s00450-014-0273-9.


Download (1249Kb) | Preview

Supplementary data:


Innovative software engineering methodologies, concepts and tools which focus on supporting the ongoing evolution of complex software, in particular regarding its continuous adaptation to changing functional and quality requirements as well as platforms over a long period are required. Supporting such a co-evolution of software systems along with their environment represents a very challenging undertaking, as it requires a combination or even integration of approaches and insights from different software engineering disciplines. To meet these challenges, the Priority Programme 1593 Design for Future—Managed Software Evolution has been established, funded by the German Research Foundation, to develop fundamental methodologies and a focused approach for long-living software systems, maintaining high quality and supporting evolution during the whole life cycle. The goal of the priority programme is integrated and focused research in software engineering to develop methods for the continuous evolution of software and software/hardware systems for making systems adaptable to changing requirements and environments. For evaluation, we focus on two specific application domains: information systems and production systems in automation engineering. In particular two joint case studies from these application domains promote close collaborations among the individual projects of the priority programme. We consider several research topics that are of common interest, for instance co-evolution of models and implementation code, of models and tests, and among various types of models. Another research topic of common interest are run-time models to automatically synchronise software systems with their abstract models through continuous system monitoring. Both concepts, co-evolution and run-time models contribute to our vision to which we refer to as knowledge carrying software. We consider this as a major need for a long life of such software systems.

Document Type: Article
Keywords: Software life cycle; Design, maintenance and operation; Legacy systems; Co-evolution; Knowledge carrying software
Research affiliation: Kiel University > Software Engineering
Refereed: Yes
Open Access Journal?: Yes
DOI etc.: 10.1007/s00450-014-0273-9
ISSN: 1865-2034
Date Deposited: 13 Oct 2014 08:19
Last Modified: 23 Sep 2019 21:59

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...